code: def full_like(
      x: Union[tf.Tensor, tf.Variable],
      /,
      fill_value: Number,
      *,
      dtype: tf.DType,
      device: Optional[str] = None,
      out: Optional[Union[tf.Tensor, tf.Variable]] = None,
  ) -> Union[tf.Tensor, tf.Variable]:
      return tf.experimental.numpy.full_like(x, fill_value, dtype=dtype)
  
imports: import numpy
  from numbers import Number
  from typing import Union, List, Optional, Sequence, Tuple
  import tensorflow
  import ivy
  from ivy.func_wrapper import with_unsupported_dtypes
  from ivy.functional.ivy.creation import _asarray_to_native_arrays_and_back, _asarray_infer_device, _asarray_infer_dtype, _asarray_handle_nestable, NestedSequence, SupportsBufferProtocol, _asarray_inputs_to_native_shapes
  from .None import backend_version
label_desc: Use image node_id 9 for calling a global function with example usage: full_like(fill_value) and returns: tf